Mimicking biological synapses with a-HfSiO_x-based memristor: implications for artificial intelligence and memory applications.

ABSTRACT: Memristors, owing to their uncomplicated structure and resemblance to biological synapses, are predicted to see increased usage in the domain of artificial intelligence. Additionally, to augment the capacity for multilayer data storage in high-density memory applications, meticulous regulation of quantized conduction with an extremely low transition energy is required. In this work, an a-HfSiO_x-based memristor was grown through atomic layer deposition (ALD) and investigated for its electrical and biological properties for use in multilevel switching memory and neuromorphic computing systems. The crystal structure and chemical distribution of the HfSiOx/TaN layers were analyzed using X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS), respectively. The Pt/a-HfSiO<

SUBMITTER: Ismail M 

PROVIDER: S-EPMC10333172 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature